{"id":"W2131826662","doi":"10.1109/50.956131","title":"Application of preemphasis to achieve flat output OSNR in time-varying channels in cascaded EDFAs without equalization","year":2001,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Optical Network Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cascade; Wavelength-division multiplexing; Optical amplifier; Equalization (audio); Amplifier; Electronic engineering; Computer science; Optics; Engineering; Channel (broadcasting); Physics; Telecommunications; Wavelength; Laser","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428058,0.0002350378,0.0001361412,0.0001298321,0.0002115585,0.0002173669,0.0004403115,0.0001792229,0.0005540018],"category_scores_gemma":[0.0003812178,0.0001390533,0.0001641044,0.00007976362,0.0002823666,0.0004257707,0.0002983251,0.0002509103,0.00009724042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000353617,"about_ca_system_score_gemma":0.0001973283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000520464,"about_ca_topic_score_gemma":0.0010836,"domain_scores_codex":[0.9998943,0.000009097278,0.000006063238,0.00003023218,0.00004376729,0.00001656495],"domain_scores_gemma":[0.9997846,0.00008692849,0.00004754062,0.00004354405,0.00002638545,0.00001100894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000156216,0.0000765466,0.001132861,0.00005372947,0.00001447707,0.000135319,0.0001065678,0.02350497,0.937258,0.003558315,0.00005451909,0.03394844],"study_design_scores_gemma":[0.00001740755,0.0002453412,0.001556936,0.000008266878,0.00001953355,0.0001834058,0.00002456593,0.247998,0.7472411,0.0009665259,0.001716227,0.0000227916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6323512,0.0002087707,0.3643297,0.00004468719,0.00003286657,0.00005176123,0.00001670809,0.0003276737,0.002636578],"genre_scores_gemma":[0.9352155,0.00006103218,0.06372301,0.000017461,0.000006461883,0.00001474218,0.00001082014,0.00001811884,0.0009328476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005540018,"threshold_uncertainty_score":0.002565682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174341389791711,"score_gpt":0.2493328082655311,"score_spread":0.237589394367614,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}